Instructions to use ianshank/phi-35-moe-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ianshank/phi-35-moe-instruct with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="ianshank/phi-35-moe-instruct", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ianshank/phi-35-moe-instruct", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("ianshank/phi-35-moe-instruct", trust_remote_code=True)

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use ianshank/phi-35-moe-instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ianshank/phi-35-moe-instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ianshank/phi-35-moe-instruct",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/ianshank/phi-35-moe-instruct

SGLang

How to use ianshank/phi-35-moe-instruct with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "ianshank/phi-35-moe-instruct" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ianshank/phi-35-moe-instruct",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "ianshank/phi-35-moe-instruct" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ianshank/phi-35-moe-instruct",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use ianshank/phi-35-moe-instruct with Docker Model Runner:
```
docker model run hf.co/ianshank/phi-35-moe-instruct
```

ianshank commited on Sep 13, 2025

Commit

45b16f0

verified ·

1 Parent(s): a82d1c1

Upload training_data/vector_db/vector_db_summary.txt with huggingface_hub

Browse files

Files changed (1) hide show

training_data/vector_db/vector_db_summary.txt +30 -0

training_data/vector_db/vector_db_summary.txt ADDED Viewed

	@@ -0,0 +1,30 @@

+ChromaDB Vector Database
+=======================
+Source: /Volumes/Mango_MAS/rag/chroma
+Collection: rag_docs
+Total chunks: 100,678
+Total documents: 123
+Database size: ~2.1 GB
+Query time: 0.343s average
+Files included:
+  .DS_Store
+  chroma.sqlite3
+  f7af3ed3-439e-477c-b161-bc0c5a8616be/data_level0.bin
+  f7af3ed3-439e-477c-b161-bc0c5a8616be/length.bin
+  f7af3ed3-439e-477c-b161-bc0c5a8616be/link_lists.bin
+  f7af3ed3-439e-477c-b161-bc0c5a8616be/header.bin
+  f7af3ed3-439e-477c-b161-bc0c5a8616be/index_metadata.pickle
+  df2626b1-7d56-4be7-a13c-47fd09e0d92c/data_level0.bin
+  df2626b1-7d56-4be7-a13c-47fd09e0d92c/length.bin
+  df2626b1-7d56-4be7-a13c-47fd09e0d92c/link_lists.bin
+  df2626b1-7d56-4be7-a13c-47fd09e0d92c/header.bin
+  79577857-a05b-4265-8e87-9c0ec0c280c6/data_level0.bin
+  79577857-a05b-4265-8e87-9c0ec0c280c6/length.bin
+  79577857-a05b-4265-8e87-9c0ec0c280c6/link_lists.bin
+  79577857-a05b-4265-8e87-9c0ec0c280c6/header.bin
+  bd9ef7e1-32f4-49b3-9db4-73006a1153b2/data_level0.bin
+  bd9ef7e1-32f4-49b3-9db4-73006a1153b2/length.bin
+  bd9ef7e1-32f4-49b3-9db4-73006a1153b2/link_lists.bin
+  bd9ef7e1-32f4-49b3-9db4-73006a1153b2/header.bin